Overview

Dataset statistics

Number of variables20
Number of observations1212
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory189.5 KiB
Average record size in memory160.1 B

Variable types

NUM19
BOOL1

Reproduction

Analysis started2020-08-25 01:01:59.932536
Analysis finished2020-08-25 01:02:57.181005
Duration57.25 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

X54 is highly correlated with X84 and 17 other fieldsHigh correlation
X84 is highly correlated with X54 and 17 other fieldsHigh correlation
X71 is highly correlated with X84 and 17 other fieldsHigh correlation
X46 is highly correlated with X84 and 17 other fieldsHigh correlation
X45 is highly correlated with X84 and 17 other fieldsHigh correlation
X40 is highly correlated with X84 and 17 other fieldsHigh correlation
X23 is highly correlated with X84 and 17 other fieldsHigh correlation
X81 is highly correlated with X84 and 17 other fieldsHigh correlation
X11 is highly correlated with X84 and 17 other fieldsHigh correlation
X1 is highly correlated with X84 and 17 other fieldsHigh correlation
X19 is highly correlated with X84 and 17 other fieldsHigh correlation
X31 is highly correlated with X84 and 17 other fieldsHigh correlation
X74 is highly correlated with X84 and 17 other fieldsHigh correlation
X34 is highly correlated with X84 and 17 other fieldsHigh correlation
X91 is highly correlated with X84 and 17 other fieldsHigh correlation
X5 is highly correlated with X84 and 17 other fieldsHigh correlation
X77 is highly correlated with X84 and 17 other fieldsHigh correlation
X78 is highly correlated with X84 and 17 other fieldsHigh correlation
X13 is highly correlated with X84 and 17 other fieldsHigh correlation
X84 has unique values Unique
X54 has unique values Unique
X71 has unique values Unique
X46 has unique values Unique
X45 has unique values Unique
X40 has unique values Unique
X23 has unique values Unique
X81 has unique values Unique
X11 has unique values Unique
X1 has unique values Unique
X19 has unique values Unique
X31 has unique values Unique
X74 has unique values Unique
X34 has unique values Unique
X91 has unique values Unique
X5 has unique values Unique
X77 has unique values Unique
X78 has unique values Unique
X13 has unique values Unique

Variables

X84
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8167.436142461635
Minimum0.771986368
Maximum140543.8669
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:02:57.224229image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.771986368
5-th percentile1.68092589
Q115.96273266
median265.023127
Q33955.903613
95-th percentile52784.12632
Maximum140543.8669
Range140543.0949
Interquartile range (IQR)3939.94088

Descriptive statistics

Standard deviation19510.22214
Coefficient of variation (CV)2.388781718
Kurtosis11.29022187
Mean8167.436142
Median Absolute Deviation (MAD)263.2727842
Skewness3.266692744
Sum9898932.605
Variance380648768
2020-08-25T01:02:57.330918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
12.9533180710.1%
 
20752.3271710.1%
 
2.78481731510.1%
 
108.699194210.1%
 
63240.2600110.1%
 
82.4370836510.1%
 
1.54088413610.1%
 
415.18913510.1%
 
46.5444187410.1%
 
36.6456116410.1%
 
73.076920610.1%
 
1.78130918310.1%
 
2383.71237210.1%
 
1.56337522710.1%
 
22088.2548210.1%
 
108.997830310.1%
 
23579.1415410.1%
 
70138.3346510.1%
 
459.485488410.1%
 
506.869610110.1%
 
3121.67583210.1%
 
332.296125510.1%
 
8.87683474610.1%
 
1370.6464110.1%
 
5856.70058210.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.77198636810.1%
 
0.90174651110.1%
 
0.94365702310.1%
 
0.94990846110.1%
 
0.96097046210.1%
 
0.99111286510.1%
 
1.00475210510.1%
 
1.00506339810.1%
 
1.03516275510.1%
 
1.04741315810.1%
 
ValueCountFrequency (%) 
140543.866910.1%
 
119032.859910.1%
 
116219.915610.1%
 
114105.011710.1%
 
112789.082310.1%
 
111245.206810.1%
 
106145.418710.1%
 
103555.274110.1%
 
102571.079510.1%
 
97588.2847710.1%
 

X54
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8188.561937086222
Minimum0.507163679
Maximum119927.2279
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:02:57.441408image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.507163679
5-th percentile1.691718648
Q116.14741812
median269.3136876
Q33987.736026
95-th percentile52121.64055
Maximum119927.2279
Range119926.7207
Interquartile range (IQR)3971.588608

Descriptive statistics

Standard deviation19480.08813
Coefficient of variation (CV)2.378938852
Kurtosis10.79541971
Mean8188.561937
Median Absolute Deviation (MAD)267.5475551
Skewness3.224076839
Sum9924537.068
Variance379473833.6
2020-08-25T01:02:57.543386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4.82838936410.1%
 
1.26829734410.1%
 
7.7497587110.1%
 
21.8801913810.1%
 
716.011578610.1%
 
1.68758849510.1%
 
171.375347210.1%
 
1219.60581610.1%
 
1534.34569110.1%
 
20091.5170210.1%
 
1.17062893910.1%
 
42625.4533110.1%
 
41.5829004410.1%
 
33.8625640210.1%
 
4.95510864910.1%
 
975.626810810.1%
 
16.1865962710.1%
 
2.48539307510.1%
 
457.906575210.1%
 
2000.69664410.1%
 
46.5444187410.1%
 
263.115546710.1%
 
2.47468329910.1%
 
34.2026537110.1%
 
28812.3593410.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.50716367910.1%
 
0.82252097910.1%
 
0.90176471110.1%
 
0.92606796410.1%
 
0.92994323510.1%
 
0.95857880410.1%
 
1.00885622410.1%
 
1.03626054610.1%
 
1.03912530210.1%
 
1.05087639910.1%
 
ValueCountFrequency (%) 
119927.227910.1%
 
119020.546510.1%
 
114096.121810.1%
 
113460.850510.1%
 
112967.942310.1%
 
111576.211110.1%
 
110835.973410.1%
 
106376.929410.1%
 
103362.360110.1%
 
103066.009310.1%
 

X71
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8181.881944161699
Minimum0.8235080359999999
Maximum143760.5536
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:02:57.694659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.823508036
5-th percentile1.720053375
Q115.49998553
median271.9044105
Q33971.828452
95-th percentile53406.59318
Maximum143760.5536
Range143759.7301
Interquartile range (IQR)3956.328466

Descriptive statistics

Standard deviation19502.1854
Coefficient of variation (CV)2.383581862
Kurtosis11.46252244
Mean8181.881944
Median Absolute Deviation (MAD)270.1311166
Skewness3.267649577
Sum9916440.916
Variance380335235.4
2020-08-25T01:02:57.816677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
28.1416367910.1%
 
158.425135210.1%
 
1277.70775910.1%
 
1772.29214910.1%
 
486.526864810.1%
 
27.134496610.1%
 
2728.09783510.1%
 
1315.51564310.1%
 
797.087500910.1%
 
13800.8329510.1%
 
6226.83048410.1%
 
7839.74359610.1%
 
760.288895910.1%
 
4.03882839110.1%
 
686.968867210.1%
 
2.52063923910.1%
 
31818.3476710.1%
 
2.3203873510.1%
 
4.22484092710.1%
 
2.35404070610.1%
 
113.941182310.1%
 
11751.5219110.1%
 
321.358784310.1%
 
56.8921251210.1%
 
1.94271213310.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.82350803610.1%
 
0.90174701310.1%
 
0.94324380510.1%
 
0.94362057810.1%
 
0.98376599410.1%
 
0.98603924410.1%
 
0.98689509810.1%
 
1.05203130910.1%
 
1.06303445310.1%
 
1.07451142410.1%
 
ValueCountFrequency (%) 
143760.553610.1%
 
127715.649410.1%
 
119032.538310.1%
 
114678.782110.1%
 
114104.802510.1%
 
112827.729610.1%
 
111250.039710.1%
 
99119.3453510.1%
 
95341.7508410.1%
 
94235.5697510.1%
 

X46
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8204.998647892287
Minimum0.798151935
Maximum119675.3644
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:02:57.934988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.798151935
5-th percentile1.697549985
Q116.03068769
median265.7590838
Q34005.42974
95-th percentile52387.88329
Maximum119675.3644
Range119674.5662
Interquartile range (IQR)3989.399052

Descriptive statistics

Standard deviation19469.24728
Coefficient of variation (CV)2.372851979
Kurtosis10.7120222
Mean8204.998648
Median Absolute Deviation (MAD)263.9711073
Skewness3.208882857
Sum9944458.361
Variance379051589.6
2020-08-25T01:02:58.043968image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
42.8328404210.1%
 
6779.72617210.1%
 
18418.6286510.1%
 
1047.60040310.1%
 
8051.12822510.1%
 
637.799452410.1%
 
2902.72052210.1%
 
242.868082610.1%
 
7380.94658610.1%
 
417.598354910.1%
 
13.2666166310.1%
 
53.9709577410.1%
 
6168.59852310.1%
 
28.9805368810.1%
 
186.292909410.1%
 
1.70435507310.1%
 
16.0932879410.1%
 
18.1552782310.1%
 
1050.38806910.1%
 
1.54978496810.1%
 
40386.3556910.1%
 
1.05607828110.1%
 
44708.329210.1%
 
7059.89763810.1%
 
17.3777627810.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.79815193510.1%
 
0.82252097910.1%
 
0.85173619110.1%
 
0.87466456610.1%
 
0.89724645910.1%
 
0.90184216610.1%
 
0.91705277810.1%
 
0.94080419910.1%
 
0.94680495910.1%
 
1.04149232310.1%
 
ValueCountFrequency (%) 
119675.364410.1%
 
118966.381510.1%
 
115232.380510.1%
 
114785.867810.1%
 
114054.494810.1%
 
113619.411310.1%
 
109515.622810.1%
 
106634.244410.1%
 
103096.660510.1%
 
97154.1366810.1%
 

X45
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8208.584146361407
Minimum0.7447297829999999
Maximum119663.1426
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:02:58.161563image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.744729783
5-th percentile1.70168867
Q115.92128509
median265.1073897
Q34028.759644
95-th percentile52280.60226
Maximum119663.1426
Range119662.3979
Interquartile range (IQR)4012.838359

Descriptive statistics

Standard deviation19474.25184
Coefficient of variation (CV)2.372425195
Kurtosis10.67744671
Mean8208.584146
Median Absolute Deviation (MAD)263.3235661
Skewness3.204321339
Sum9948803.985
Variance379246484.8
2020-08-25T01:02:58.260700image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
115.263323910.1%
 
31.7904641210.1%
 
57.4035538310.1%
 
3.88154561610.1%
 
50.8338828410.1%
 
1.18864506410.1%
 
937.419654310.1%
 
6426.67637610.1%
 
27027.148810.1%
 
161.784607610.1%
 
56967.3590210.1%
 
1322.41262210.1%
 
1425.46510910.1%
 
33521.0285110.1%
 
44224.5075410.1%
 
37653.8175210.1%
 
9.43523554110.1%
 
1279.24237810.1%
 
26282.7443410.1%
 
4396.96179610.1%
 
943.255612510.1%
 
103087.002810.1%
 
1.8103468910.1%
 
20.9328018710.1%
 
7686.98281610.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.74472978310.1%
 
0.8534010310.1%
 
0.85923770410.1%
 
0.88600085910.1%
 
0.90186419910.1%
 
0.90481578710.1%
 
0.9161702810.1%
 
0.91660549210.1%
 
0.98903919910.1%
 
1.04102559810.1%
 
ValueCountFrequency (%) 
119663.142610.1%
 
118950.793410.1%
 
115659.180510.1%
 
114886.490510.1%
 
114282.298710.1%
 
114042.247810.1%
 
109446.499510.1%
 
106647.142810.1%
 
103087.002810.1%
 
97164.7049210.1%
 

X40
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8216.509605127336
Minimum0.7121507979999999
Maximum121647.6839
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:02:58.377743image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.712150798
5-th percentile1.689206835
Q116.04382192
median267.850439
Q34106.575267
95-th percentile53184.42072
Maximum121647.6839
Range121646.9717
Interquartile range (IQR)4090.531445

Descriptive statistics

Standard deviation19523.47426
Coefficient of variation (CV)2.37612748
Kurtosis10.85018906
Mean8216.509605
Median Absolute Deviation (MAD)266.0618738
Skewness3.222116936
Sum9958409.641
Variance381166047.2
2020-08-25T01:02:58.649691image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
5390.80248310.1%
 
5.40661375410.1%
 
22198.2714110.1%
 
79.3719240410.1%
 
11770.1558710.1%
 
402.793685610.1%
 
598.577039510.1%
 
35056.8369510.1%
 
5076.73995210.1%
 
42.5621018510.1%
 
4067.75001510.1%
 
627.930216910.1%
 
25997.3199710.1%
 
866.234473510.1%
 
2.86022372310.1%
 
2375.08820710.1%
 
1.29080763910.1%
 
7861.6495110.1%
 
20.3768148410.1%
 
148.280601510.1%
 
488.012103110.1%
 
1082.52813410.1%
 
11198.7790410.1%
 
11.2380062410.1%
 
142.94578110.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.71215079810.1%
 
0.8109681510.1%
 
0.8806831410.1%
 
0.90207823310.1%
 
0.9152793710.1%
 
0.94115538210.1%
 
0.97167079610.1%
 
1.0304213410.1%
 
1.03626054610.1%
 
1.03964020610.1%
 
ValueCountFrequency (%) 
121647.683910.1%
 
119627.293610.1%
 
119204.631610.1%
 
118797.609210.1%
 
115201.321310.1%
 
113919.220810.1%
 
109236.118210.1%
 
106685.575410.1%
 
103062.215310.1%
 
97191.2620110.1%
 

X23
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8142.393498989483
Minimum0.912984035
Maximum140047.5877
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:02:58.758692image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.912984035
5-th percentile1.721736997
Q115.88112002
median265.3106618
Q34059.903915
95-th percentile53040.77698
Maximum140047.5877
Range140046.6747
Interquartile range (IQR)4044.022795

Descriptive statistics

Standard deviation19432.26948
Coefficient of variation (CV)2.386554946
Kurtosis11.39898707
Mean8142.393499
Median Absolute Deviation (MAD)263.5689387
Skewness3.278452204
Sum9868580.921
Variance377613097.1
2020-08-25T01:02:58.871916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
815.023514310.1%
 
2.33174260110.1%
 
12.3842404110.1%
 
13.8183171410.1%
 
7.32548875710.1%
 
7.26830246410.1%
 
33257.4360910.1%
 
111503.924910.1%
 
41.9848896510.1%
 
1504.75007110.1%
 
1120.4776610.1%
 
7086.28572210.1%
 
486.446635910.1%
 
7754.26920410.1%
 
6373.3096810.1%
 
13783.0536710.1%
 
15365.4612910.1%
 
1.72167278310.1%
 
5869.16505410.1%
 
11194.594310.1%
 
1411.93464610.1%
 
5.95567473810.1%
 
619.933762710.1%
 
178.554608510.1%
 
1.18825747510.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.91298403510.1%
 
0.91444930810.1%
 
0.92527829810.1%
 
0.93618401810.1%
 
0.98987973510.1%
 
1.00535463510.1%
 
1.0387701210.1%
 
1.04290978210.1%
 
1.04737161310.1%
 
1.06793171110.1%
 
ValueCountFrequency (%) 
140047.587710.1%
 
119605.528510.1%
 
115431.491910.1%
 
111503.924910.1%
 
110592.703910.1%
 
109094.154610.1%
 
106709.976210.1%
 
106669.382810.1%
 
103051.818210.1%
 
99133.0868410.1%
 

X81
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8141.0270213382655
Minimum0.897123428
Maximum156595.2885
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:02:58.984304image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.897123428
5-th percentile1.719403509
Q115.85261739
median271.8055975
Q33974.130047
95-th percentile52123.62095
Maximum156595.2885
Range156594.3914
Interquartile range (IQR)3958.277429

Descriptive statistics

Standard deviation19461.66711
Coefficient of variation (CV)2.390566578
Kurtosis12.08102519
Mean8141.027021
Median Absolute Deviation (MAD)270.0522005
Skewness3.321011975
Sum9866924.75
Variance378756486.5
2020-08-25T01:02:59.095880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
33.8650694910.1%
 
20.2415062410.1%
 
67.0080060510.1%
 
17453.1489110.1%
 
84564.9029810.1%
 
326.408432610.1%
 
222.764377810.1%
 
47558.0158910.1%
 
41999.9490410.1%
 
14.7859623210.1%
 
30641.6939810.1%
 
390.731899410.1%
 
10851.6722510.1%
 
4.00278698710.1%
 
500.41032210.1%
 
4.42485994810.1%
 
77.8598491210.1%
 
18.2089234310.1%
 
92667.0863410.1%
 
2657.46016110.1%
 
32.002201510.1%
 
26257.3912510.1%
 
1534.24667510.1%
 
15459.8790710.1%
 
485.099463610.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.89712342810.1%
 
0.90174654210.1%
 
0.92144297110.1%
 
0.92659862710.1%
 
0.9436301110.1%
 
0.96574708210.1%
 
0.97635696910.1%
 
0.99078261210.1%
 
1.00377111110.1%
 
1.04762257610.1%
 
ValueCountFrequency (%) 
156595.288510.1%
 
121170.171410.1%
 
119032.840310.1%
 
114104.999610.1%
 
112792.465710.1%
 
111245.431110.1%
 
104090.926210.1%
 
100173.76210.1%
 
99298.1162810.1%
 
94238.0459110.1%
 

X11
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8159.055353800583
Minimum0.914416336
Maximum119604.7196
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:02:59.221586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.914416336
5-th percentile1.697336336
Q116.17488528
median264.3078542
Q34041.060624
95-th percentile51589.59824
Maximum119604.7196
Range119603.8052
Interquartile range (IQR)4024.885739

Descriptive statistics

Standard deviation19311.27144
Coefficient of variation (CV)2.366851382
Kurtosis10.67374579
Mean8159.055354
Median Absolute Deviation (MAD)262.5259666
Skewness3.204078944
Sum9888775.089
Variance372925204.6
2020-08-25T01:02:59.332144image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
15.0205042410.1%
 
32297.5169410.1%
 
18.626174410.1%
 
35.3924373410.1%
 
7177.43661110.1%
 
34998.0178510.1%
 
32912.7379810.1%
 
14.7431631210.1%
 
213.53318310.1%
 
41965.6097210.1%
 
2.28098756310.1%
 
1.68954522410.1%
 
5076.61004810.1%
 
215.08906810.1%
 
32.0187443110.1%
 
4442.83261910.1%
 
22342.8408910.1%
 
140.744066610.1%
 
1475.82172510.1%
 
19.1223844610.1%
 
104.228046410.1%
 
964.24017510.1%
 
89.9608427310.1%
 
28377.0177810.1%
 
514.869121610.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.91441633610.1%
 
0.94302237410.1%
 
0.99099139610.1%
 
0.991365110.1%
 
1.00660558210.1%
 
1.03873530410.1%
 
1.04291865410.1%
 
1.04723218310.1%
 
1.07681847610.1%
 
1.07962585710.1%
 
ValueCountFrequency (%) 
119604.719610.1%
 
116748.909510.1%
 
115444.203810.1%
 
113493.818410.1%
 
111258.49110.1%
 
109287.57810.1%
 
109087.527710.1%
 
106710.975810.1%
 
103051.653610.1%
 
97201.9282610.1%
 

X1
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8200.620175171687
Minimum0.912984035
Maximum119604.6409
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:02:59.445972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.912984035
5-th percentile1.740418932
Q115.95210131
median265.3010681
Q34026.890054
95-th percentile52366.59873
Maximum119604.6409
Range119603.7279
Interquartile range (IQR)4010.937953

Descriptive statistics

Standard deviation19445.48026
Coefficient of variation (CV)2.371220694
Kurtosis10.64398545
Mean8200.620175
Median Absolute Deviation (MAD)263.5250277
Skewness3.203462214
Sum9939151.652
Variance378126702.6
2020-08-25T01:02:59.545190image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
12.0470319510.1%
 
15.1787094610.1%
 
1.51903741310.1%
 
1446.70676410.1%
 
4.65618066910.1%
 
906.837107210.1%
 
772.411146110.1%
 
64.3394397910.1%
 
9.38234359210.1%
 
2.86345482710.1%
 
2630.04426610.1%
 
20.5508117110.1%
 
561.134390810.1%
 
20742.8690810.1%
 
641.5316310.1%
 
23.5747555810.1%
 
9159.76016510.1%
 
10276.0972610.1%
 
2017.67913910.1%
 
35.4955083510.1%
 
3.6488803510.1%
 
12.9538476810.1%
 
14.7829861910.1%
 
82.4435603910.1%
 
60572.0062510.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.91298403510.1%
 
0.91441297310.1%
 
0.94360065210.1%
 
0.99149059510.1%
 
1.00672717610.1%
 
1.03873173510.1%
 
1.04291949410.1%
 
1.04722541310.1%
 
1.07784699810.1%
 
1.07964180410.1%
 
ValueCountFrequency (%) 
119604.640910.1%
 
118358.571410.1%
 
115445.84310.1%
 
113578.886610.1%
 
113555.092710.1%
 
111246.151610.1%
 
109086.769810.1%
 
106711.0810.1%
 
103051.644810.1%
 
97201.9352510.1%
 

X19
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8125.028409309882
Minimum0.914429941
Maximum127121.4806
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:02:59.661863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.914429941
5-th percentile1.735276471
Q115.90739338
median264.3111034
Q34145.893599
95-th percentile52597.51986
Maximum127121.4806
Range127120.5662
Interquartile range (IQR)4129.986205

Descriptive statistics

Standard deviation19273.57605
Coefficient of variation (CV)2.372124142
Kurtosis10.81443296
Mean8125.028409
Median Absolute Deviation (MAD)262.5272891
Skewness3.219313137
Sum9847534.432
Variance371470733.7
2020-08-25T01:02:59.761696image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
6890.75424210.1%
 
1312.77966710.1%
 
39.522958810.1%
 
5.40660898310.1%
 
38631.6495510.1%
 
3.34380329310.1%
 
73247.5110110.1%
 
10.6120811110.1%
 
38.7985814910.1%
 
1029.33390410.1%
 
210.476279110.1%
 
3520.67915210.1%
 
1063.66693710.1%
 
5.06145766510.1%
 
55310.3621810.1%
 
400.776333710.1%
 
775.253349310.1%
 
237.480021510.1%
 
92676.5088210.1%
 
922.586774810.1%
 
192.368537810.1%
 
13320.1479610.1%
 
10.4499871110.1%
 
29.6270871410.1%
 
59863.9010610.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.91442994110.1%
 
0.92527829810.1%
 
0.9274881410.1%
 
0.94034004310.1%
 
0.99078261210.1%
 
1.00609599910.1%
 
1.01203409610.1%
 
1.0387496910.1%
 
1.04291506610.1%
 
1.04727898710.1%
 
ValueCountFrequency (%) 
127121.480610.1%
 
119605.049110.1%
 
115438.622810.1%
 
111341.705710.1%
 
109090.34710.1%
 
106710.560910.1%
 
105858.500110.1%
 
103051.710310.1%
 
99436.2194610.1%
 
97201.8797110.1%
 

X31
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8232.930674393823
Minimum0.903888097
Maximum140047.5877
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:02:59.879775image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.903888097
5-th percentile1.692049285
Q116.42856558
median264.3734903
Q33996.557818
95-th percentile53508.88455
Maximum140047.5877
Range140046.6838
Interquartile range (IQR)3980.129252

Descriptive statistics

Standard deviation19682.28585
Coefficient of variation (CV)2.390677953
Kurtosis11.38169886
Mean8232.930674
Median Absolute Deviation (MAD)262.5661302
Skewness3.275508062
Sum9978311.977
Variance387392376.4
2020-08-25T01:02:59.983819image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
24.313369610.1%
 
11.4376672110.1%
 
161.784607610.1%
 
655.40052710.1%
 
25643.41210.1%
 
2372.16049210.1%
 
4.45725353510.1%
 
45701.9340110.1%
 
486.502152510.1%
 
64.3802171810.1%
 
1.07854856810.1%
 
3.09768272410.1%
 
88150.7979510.1%
 
109117.36910.1%
 
22723.5100610.1%
 
4.39556386810.1%
 
6.61191929510.1%
 
54214.5389410.1%
 
21.0969076110.1%
 
20.5516374910.1%
 
669.62965810.1%
 
2905.19600810.1%
 
1.43042212810.1%
 
2637.1098410.1%
 
1114.04577710.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.90388809710.1%
 
0.90600198210.1%
 
0.91457549110.1%
 
0.98331938810.1%
 
0.99110377310.1%
 
1.00038876610.1%
 
1.01892894710.1%
 
1.03708329810.1%
 
1.03890282710.1%
 
1.04287383210.1%
 
ValueCountFrequency (%) 
140047.587710.1%
 
119608.738410.1%
 
117467.246810.1%
 
115390.916310.1%
 
114850.979910.1%
 
113101.198510.1%
 
112794.901210.1%
 
109117.36910.1%
 
106706.214610.1%
 
103052.846910.1%
 

X74
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8132.681440507841
Minimum0.866256158
Maximum150420.3424
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:03:00.095648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.866256158
5-th percentile1.738578806
Q115.31983722
median267.6597565
Q33901.336493
95-th percentile52123.60597
Maximum150420.3424
Range150419.4761
Interquartile range (IQR)3886.016656

Descriptive statistics

Standard deviation19376.58171
Coefficient of variation (CV)2.382557567
Kurtosis11.94614196
Mean8132.681441
Median Absolute Deviation (MAD)265.894853
Skewness3.299104056
Sum9856809.906
Variance375451918.6
2020-08-25T01:03:00.207973image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
850.290488810.1%
 
29370.5290310.1%
 
1.87305864910.1%
 
339.691062310.1%
 
10133.4613810.1%
 
2.56896070110.1%
 
10920.0155510.1%
 
19.0862174810.1%
 
93537.5655910.1%
 
47.6990269210.1%
 
63632.1591210.1%
 
154.399836210.1%
 
44.3825606810.1%
 
62436.4508810.1%
 
1.45691806310.1%
 
5649.9250110.1%
 
123.200462410.1%
 
50.3797018810.1%
 
609.521637410.1%
 
89866.4889110.1%
 
2.38353175610.1%
 
74.7182581910.1%
 
68.2509872410.1%
 
33988.8654610.1%
 
9.78902083210.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.86625615810.1%
 
0.88806350110.1%
 
0.90174676310.1%
 
0.94344610110.1%
 
0.98055262710.1%
 
0.98852359910.1%
 
0.99551182610.1%
 
1.0466089810.1%
 
1.04950079810.1%
 
1.07596044910.1%
 
ValueCountFrequency (%) 
150420.342410.1%
 
133933.326910.1%
 
119032.699410.1%
 
114104.90910.1%
 
112810.859410.1%
 
111247.408610.1%
 
108686.087510.1%
 
94236.8310910.1%
 
93537.5655910.1%
 
92564.1400510.1%
 

X34
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8243.018362674782
Minimum0.7382668040000001
Maximum129620.4579
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:03:00.326259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.738266804
5-th percentile1.674142767
Q116.04634781
median264.442365
Q33969.950139
95-th percentile53594.29201
Maximum129620.4579
Range129619.7196
Interquartile range (IQR)3953.903791

Descriptive statistics

Standard deviation19621.86642
Coefficient of variation (CV)2.380422505
Kurtosis10.91596381
Mean8243.018363
Median Absolute Deviation (MAD)262.6506477
Skewness3.230527109
Sum9990538.256
Variance385017641.8
2020-08-25T01:03:00.426630image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
16047.0640910.1%
 
4448.30816710.1%
 
44.4695351210.1%
 
4.52242156910.1%
 
3479.0171610.1%
 
33.2536747610.1%
 
3.59148046910.1%
 
2.96751004410.1%
 
14142.3454610.1%
 
919.810460410.1%
 
21.8801913810.1%
 
1.15420950510.1%
 
1.56636336410.1%
 
5076.80327310.1%
 
1374.96642410.1%
 
490.373057710.1%
 
424.973601510.1%
 
16.0516736110.1%
 
168.175039510.1%
 
85.9537009210.1%
 
3052.9458410.1%
 
3.50174308610.1%
 
1.4784644210.1%
 
2.62429030610.1%
 
56.8822777610.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.73826680410.1%
 
0.87466456610.1%
 
0.90289666410.1%
 
0.91469704810.1%
 
0.92148506410.1%
 
0.97650546710.1%
 
0.99551182610.1%
 
1.00885622410.1%
 
1.03903040110.1%
 
1.04283814410.1%
 
ValueCountFrequency (%) 
129620.457910.1%
 
119611.890110.1%
 
118200.509610.1%
 
115355.401110.1%
 
115130.250910.1%
 
113421.805910.1%
 
109138.713410.1%
 
106702.622910.1%
 
103054.126410.1%
 
101703.471110.1%
 

X91
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8215.015053931147
Minimum0.901746483
Maximum125154.9912
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:03:00.537860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.901746483
5-th percentile1.739924148
Q116.23152212
median264.2900967
Q33993.041762
95-th percentile52748.19389
Maximum125154.9912
Range125154.0895
Interquartile range (IQR)3976.81024

Descriptive statistics

Standard deviation19539.64692
Coefficient of variation (CV)2.378528437
Kurtosis10.6965526
Mean8215.015054
Median Absolute Deviation (MAD)262.5178706
Skewness3.211208087
Sum9956598.245
Variance381797801.8
2020-08-25T01:03:00.640653image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10.4375748210.1%
 
11452.5395110.1%
 
4.88285616210.1%
 
6.00943314810.1%
 
4082.72457210.1%
 
20000.365410.1%
 
1.94278110810.1%
 
61.4723303510.1%
 
2470.62109210.1%
 
2.68400369610.1%
 
598.167812710.1%
 
15298.5740610.1%
 
23.7711669210.1%
 
30038.7607210.1%
 
28.9619694810.1%
 
2250.93645410.1%
 
3.28526747710.1%
 
20.9053489410.1%
 
7133.65313910.1%
 
18.4632032610.1%
 
105.592488410.1%
 
58.0319757410.1%
 
46.139460510.1%
 
1146.22992510.1%
 
2.27944905910.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.90174648310.1%
 
0.92144297110.1%
 
0.92409351410.1%
 
0.94368150310.1%
 
0.99141316310.1%
 
1.00630207910.1%
 
1.02155277510.1%
 
1.04725772110.1%
 
1.04882351510.1%
 
1.07557631210.1%
 
ValueCountFrequency (%) 
125154.991210.1%
 
119032.877110.1%
 
114105.022110.1%
 
112785.393310.1%
 
112522.428610.1%
 
111245.038210.1%
 
111171.971610.1%
 
104189.815310.1%
 
103144.539310.1%
 
96748.9665310.1%
 

X5
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8191.46084513544
Minimum0.914413659
Maximum119604.6567
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:03:00.753512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.914413659
5-th percentile1.736340398
Q116.08375961
median264.3074209
Q34062.125508
95-th percentile52247.87197
Maximum119604.6567
Range119603.7423
Interquartile range (IQR)4046.041748

Descriptive statistics

Standard deviation19410.50988
Coefficient of variation (CV)2.369602962
Kurtosis10.64614777
Mean8191.460845
Median Absolute Deviation (MAD)262.5265191
Skewness3.202503209
Sum9928050.544
Variance376767893.9
2020-08-25T01:03:00.857345image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3.39081123310.1%
 
22.267619110.1%
 
44946.6746910.1%
 
81802.0512810.1%
 
642.42158810.1%
 
209.107659810.1%
 
3.31251008510.1%
 
843.115770210.1%
 
67.8524612910.1%
 
6.71487562910.1%
 
10933.6392710.1%
 
11.5693502710.1%
 
487.953252310.1%
 
8032.13081510.1%
 
19.0946716610.1%
 
3.62519065310.1%
 
19.5402752810.1%
 
41936.9352410.1%
 
6102.36501310.1%
 
797.932010210.1%
 
198.096437810.1%
 
1.61699845410.1%
 
51.7591975510.1%
 
2.87610219910.1%
 
3371.07700110.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.91441365910.1%
 
0.9274881410.1%
 
0.94349054310.1%
 
0.99146670710.1%
 
1.00670280610.1%
 
1.03873246510.1%
 
1.04291932710.1%
 
1.04722645710.1%
 
1.07762740110.1%
 
1.07963880510.1%
 
ValueCountFrequency (%) 
119604.656710.1%
 
117467.246810.1%
 
115445.479210.1%
 
114295.849410.1%
 
112794.901210.1%
 
111248.080610.1%
 
109086.930910.1%
 
106711.058610.1%
 
103051.646210.1%
 
97201.9341710.1%
 

X77
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8115.769160479535
Minimum0.712332628
Maximum144917.298
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:03:00.965807image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.712332628
5-th percentile1.742048718
Q115.324778
median269.513532
Q33974.134863
95-th percentile52123.61534
Maximum144917.298
Range144916.5857
Interquartile range (IQR)3958.810086

Descriptive statistics

Standard deviation19311.31027
Coefficient of variation (CV)2.379479984
Kurtosis11.69129516
Mean8115.76916
Median Absolute Deviation (MAD)267.7340653
Skewness3.281080607
Sum9836312.223
Variance372926704.3
2020-08-25T01:03:01.075354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
11258.8843410.1%
 
1534.24685910.1%
 
1.15676778810.1%
 
92274.773510.1%
 
40639.4459810.1%
 
2.3031439210.1%
 
41.656328210.1%
 
144917.29810.1%
 
1.07854856810.1%
 
22088.2614210.1%
 
245.152679710.1%
 
32.3415646210.1%
 
58724.9772810.1%
 
9.70980647110.1%
 
2.17648245710.1%
 
966.2766810.1%
 
1929.13575610.1%
 
1.87819056610.1%
 
120.990679110.1%
 
887.364176610.1%
 
1.41658043510.1%
 
75627.6822310.1%
 
14.1741827910.1%
 
1.55666744910.1%
 
15160.3053810.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.71233262810.1%
 
0.72861671310.1%
 
0.90174662910.1%
 
0.94355655410.1%
 
0.98987973510.1%
 
1.00038876610.1%
 
1.01475108710.1%
 
1.04455930410.1%
 
1.04830254110.1%
 
1.05585950610.1%
 
ValueCountFrequency (%) 
144917.29810.1%
 
133487.208110.1%
 
119032.78510.1%
 
114104.964510.1%
 
112800.441310.1%
 
111246.151610.1%
 
105782.062610.1%
 
94237.5473310.1%
 
92628.3672410.1%
 
92274.773510.1%
 

X78
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8113.476133145478
Minimum0.783091612
Maximum150204.1767
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:03:01.188397image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.783091612
5-th percentile1.742119548
Q115.32171635
median269.1711245
Q33974.133197
95-th percentile52123.61727
Maximum150204.1767
Range150203.3936
Interquartile range (IQR)3958.811481

Descriptive statistics

Standard deviation19318.87104
Coefficient of variation (CV)2.38108435
Kurtosis11.85365086
Mean8113.476133
Median Absolute Deviation (MAD)267.3906347
Skewness3.293716003
Sum9833533.073
Variance373218778.3
2020-08-25T01:03:01.298471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
85350.8144410.1%
 
53.8307879210.1%
 
134.94708810.1%
 
1929.13643210.1%
 
44700.8633110.1%
 
52989.7584210.1%
 
1.76521768810.1%
 
2470.59697610.1%
 
486.341677710.1%
 
10698.9934310.1%
 
2157.13432710.1%
 
555.740912510.1%
 
425.155768610.1%
 
1039.38022810.1%
 
1.30588063810.1%
 
347.21479910.1%
 
35.5286685810.1%
 
899.167386210.1%
 
1770.78476910.1%
 
70.9628442910.1%
 
16.3122365110.1%
 
5207.43345510.1%
 
273.137040310.1%
 
84210.1689210.1%
 
6168.59852310.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.78309161210.1%
 
0.78353283610.1%
 
0.901746610.1%
 
0.94358081910.1%
 
0.9901776110.1%
 
0.99850065310.1%
 
1.00148785810.1%
 
1.02251252710.1%
 
1.04104776610.1%
 
1.04806483110.1%
 
ValueCountFrequency (%) 
150204.176710.1%
 
129555.726210.1%
 
119032.803510.1%
 
114104.976310.1%
 
112797.944510.1%
 
111245.900610.1%
 
105196.288410.1%
 
94237.7091210.1%
 
92940.9900210.1%
 
92641.6130110.1%
 

X13
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count1212
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8176.080550042411
Minimum0.914418127
Maximum119604.7623
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:03:01.419846image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.914418127
5-th percentile1.730084527
Q116.28529837
median264.3082013
Q34035.217934
95-th percentile53178.02735
Maximum119604.7623
Range119603.8479
Interquartile range (IQR)4018.932635

Descriptive statistics

Standard deviation19341.82287
Coefficient of variation (CV)2.36565953
Kurtosis10.53788535
Mean8176.08055
Median Absolute Deviation (MAD)262.5501066
Skewness3.189966106
Sum9909409.627
Variance374106111.9
2020-08-25T01:03:01.677462image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
58.7988594510.1%
 
486.526864810.1%
 
675.706761910.1%
 
382.13522110.1%
 
3371.4148910.1%
 
37644.0351210.1%
 
3158.10670410.1%
 
22723.5100610.1%
 
13589.6372410.1%
 
6.52609544410.1%
 
429.992024410.1%
 
4010.2022310.1%
 
1237.17688310.1%
 
731.781029710.1%
 
1.20528890710.1%
 
177.800499910.1%
 
92775.9192810.1%
 
3.61804005410.1%
 
11945.2136710.1%
 
3062.80746910.1%
 
58.5883594610.1%
 
29.6270871410.1%
 
964.24017510.1%
 
17.6698355910.1%
 
1.09821157810.1%
 
Other values (1187)118797.9%
 
ValueCountFrequency (%) 
0.91441812710.1%
 
0.94269090310.1%
 
0.99099139610.1%
 
0.99129314110.1%
 
1.00653956610.1%
 
1.03873720110.1%
 
1.04291819410.1%
 
1.04723695210.1%
 
1.07629760610.1%
 
1.07961659810.1%
 
ValueCountFrequency (%) 
119604.762310.1%
 
118251.604410.1%
 
115443.409410.1%
 
111267.074310.1%
 
110592.703910.1%
 
109087.913410.1%
 
106710.920810.1%
 
106669.382810.1%
 
103051.659510.1%
 
97201.9233310.1%
 

target
Boolean

Distinct count2
Unique (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
1
612
0
600
ValueCountFrequency (%) 
161250.5%
 
060049.5%
 

Interactions

2020-08-25T01:02:01.279771image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:01.430287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:01.745852image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:01.890032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:02.031336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:02.174708image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:02.319746image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:02.466439image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:02.613383image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:02.760493image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:02.907866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:03.055316image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:03.207736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:03.362001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:03.509089image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:03.653499image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:03.802037image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:03.949564image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:04.099398image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:04.243416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:04.391298image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:04.533373image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:04.675036image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:04.816108image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:04.958101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:05.094985image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:05.238230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:05.387443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:05.528197image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:05.665784image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:05.808295image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:06.130042image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:06.272207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:06.417740image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:06.556567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:06.697480image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:06.843893image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:06.986952image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:07.129314image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:07.276836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:07.425003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:07.578333image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:07.726639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:07.877543image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:08.026253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:08.173227image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:08.323467image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:08.470383image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:08.618150image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:08.763288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:08.915208image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:09.062140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:09.206960image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:09.349523image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:09.502294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:09.652158image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:09.798881image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:09.947958image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:10.092021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:10.231202image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:10.547956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:10.685759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:10.824639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:10.973790image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:11.123827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:11.282618image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:11.434934image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:11.578017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:11.719270image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:11.868217image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:12.013890image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:12.155430image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:12.299690image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:12.443338image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:12.591965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:12.740017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:12.893312image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:13.060012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:13.202605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:13.350969image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:13.500639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:13.643607image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:13.786966image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:13.939143image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:14.095080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:14.238729image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:14.381862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:14.525737image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:14.672936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:14.990872image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:15.136070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:15.278797image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:15.419782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:15.572700image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:15.718695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:15.867152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:16.020332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:16.161586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:16.310659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:16.455085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:16.600175image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:16.745148image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:16.890795image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:17.039775image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:17.180333image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:17.320214image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:17.458905image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:17.605336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:17.747095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:17.894005image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:18.031982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:18.176609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:18.318142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:18.461003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:18.602760image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:18.751469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:18.897409image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:19.054162image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:19.371941image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:19.515373image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:19.662921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:02:51.175874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:51.319468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:51.462865image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:51.609843image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:51.761802image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:51.908304image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:52.053509image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:52.201758image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:52.350062image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:52.499410image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:52.647109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:52.803296image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:52.950295image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:53.109589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:53.258275image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:53.401763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:53.545552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:53.684880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:53.831802image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:53.978200image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:54.127763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:54.268810image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:54.596908image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:54.749714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:54.904737image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:55.053303image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:55.201411image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:55.350718image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:55.496586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:55.633154image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:55.776012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:55.917165image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:56.066659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:56.211424image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T01:03:01.826990image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T01:03:02.116848image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T01:03:02.410629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T01:03:02.709465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T01:02:56.520166image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:02:57.001522image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

X84X54X71X46X45X40X23X81X11X1X19X31X74X34X91X5X77X78X13target
01327.5703741326.1673131327.5115151321.5845561320.3962181309.834252943.2055861327.5659121264.6229051317.2657891059.9035021237.1768831327.5387621275.0416521327.5748211306.3155881327.5545971327.5582321237.1768830
17121.3013097121.9362527121.3168587124.8396067125.6866617134.1246487613.5650317121.3022298904.9728227329.9676248282.5964587209.7528097121.3089947167.7680797121.3005177613.5650317121.3048637121.3039809860.9009091
2807.563211812.041748807.771232825.716118829.180228859.307748894.904461807.579733818.309981809.421410851.0210871056.358634807.676684954.977918807.546268811.321016807.620659807.607617822.8065121
353263.41268045460.16218047224.45771045369.40155045364.21466045347.72272045335.08422054632.84684045334.31516045334.20888045334.65893045337.40984048382.73531045339.38786047933.76835045334.23305050250.75425051099.88103045334.3652201
41.6560201.8102371.8010101.8103431.8103471.8103561.8103591.6907471.8103591.8103591.8103591.8103591.7902751.8103591.7844441.8103591.7672111.7546831.8103590
52.0773662.7252202.1097652.4039872.3523792.1927892.0800282.0800282.0742272.0735172.0767402.0992862.0952392.1164992.0745792.0736712.0865092.0844562.0745791
6419.961291382.943099412.683873382.281320382.253187382.175667382.136167453.945795382.135177382.135104382.135551382.141024440.130065382.146352390.611288382.135117492.234969518.463279382.1352211
71384.1872301385.1167831384.2356951387.7413731388.3886091393.8801691550.1055551384.1912881469.2461411400.1896211707.8265871427.7916511384.2141361410.6034611384.1829311415.4067611384.2010731384.1979841502.9850231
8685.826984685.864334685.827529686.094827686.169600687.000335762.930229685.827009689.845197686.169600714.627041696.584541685.827232690.966868685.826965686.744272685.827091685.827062692.4016471
96121.1109976689.9137026328.1539716229.5567706207.4078826142.7066156103.8793206135.6756716102.4726106102.3382596103.0429336109.5390796229.5567706115.1368986107.2429806102.3650136174.0053156161.5262286102.5460571

Last rows

X84X54X71X46X45X40X23X81X11X1X19X31X74X34X91X5X77X78X13target
120240099.15009039730.08752040086.26494038373.35061038006.75046034618.77410039130.97642040098.25198040004.08822040086.26494039651.49824035578.64089040092.42185032044.49798040100.00052040069.98799040095.87768040096.65192039958.9049000
12031048.7460411049.2019111048.7727721050.3880691050.6725391053.0259571113.1402121048.7484011216.3525341082.7767661170.5919621066.7295801048.7611471059.8916551048.7434531113.1402121048.7539411048.7522101279.2984491
12046706.3982886658.9604488816.2157556586.8076976583.7825766575.4998106571.3535556829.7405916571.2537426571.2466096571.2911186571.8537157745.0156356572.4086166601.0098276571.2478847184.9446877065.6469366571.2581011
120530718.29241024373.59497029645.06315029400.56897029645.06315030363.00754030800.25991030641.69398030816.62317030818.22238030809.94771030735.57220030153.42134030672.18160030791.86439030817.90123030441.54892030506.54746030815.7568000
12062.8420372.8438702.8421382.8488512.8500632.8602243.1348382.8420462.9518652.8634553.2480322.9212412.8420932.8905422.8420282.8832272.8420662.8420602.9943261
1207847.370574677.204589844.598969822.446853827.783878841.548382847.398011847.235113847.493647847.498845847.460491846.810405846.085767846.085767847.475290847.498008846.810405846.957176847.4901320
120824706.53916024739.98418024707.48868024879.82316024919.35420025301.03629026367.03513024706.59932024847.63269024724.56587025436.61896028483.06215024707.01938026745.70358024706.48531024747.62694024706.76598024706.71075024919.3542001
1209848.532731800.514614893.658629798.403708798.313388798.063753797.935489893.658629797.932210797.931966797.933453797.951402979.027897797.968765809.363718797.9320101021.907515979.027897797.9323571
1210906.419801907.277881906.433672912.277860913.867251931.151387988.545319906.420476911.027639906.837107937.8609231120.933409906.4262231010.825091906.419280907.510841906.422598906.421864913.8672511
1211190.529714190.520199190.529556190.465632190.448384190.261918175.133866190.529706189.109512190.398712180.971139188.242214190.529640189.410678190.529720190.189845190.529682190.529690188.2422140